{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{4}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}\\
            &\multicolumn{1}{c}{2014-2019}&\multicolumn{1}{c}{2009-2019}&\multicolumn{1}{c}{2009-2019}&\multicolumn{1}{c}{Placebo lagged outcome}\\
\hline
2019 election&      -6.122\sym{***}&      -12.93\sym{***}&      -20.33\sym{***}&      -14.10\sym{***}\\
            &    (0.0628)         &    (0.0687)         &    (0.0739)         &    (0.0809)         \\
[1em]
EP election in 2019&      0.0405         &      -1.027\sym{***}&       0.211\sym{***}&       0.172\sym{*}  \\
            &    (0.0713)         &    (0.0779)         &    (0.0752)         &    (0.0925)         \\
[1em]
Ciutadella in 2019&       1.168\sym{*}  &       0.413         &       0.792         &      -1.025\sym{*}  \\
            &     (0.693)         &     (0.589)         &     (0.589)         &     (0.566)         \\
[1em]
EP 2019 x Ciutadella&      -3.146\sym{***}&      -2.454\sym{**} &      -3.692\sym{***}&      -0.923         \\
            &     (1.122)         &     (1.008)         &     (1.008)         &     (0.992)         \\
[1em]
2014-2015 election&                     &                     &      -14.04\sym{***}&                     \\
            &                     &                     &    (0.0365)         &                     \\
\hline
\(N\)       &      118474         &      204986         &      204986         &      105890         \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{5}{l}{\footnotesize All models include voting station * election type fixed effects}\\
\multicolumn{5}{l}{\footnotesize Standard errors are clustered by voting station * election type}\\
\multicolumn{5}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
